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Achievement: YOLOAchievement: Pull Shark

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BraedynL0530/README.md

Hey there! 👋 I'm Braedyn

Python, Go, and Machine Learning developer | Backend enthusiast occasionally forced into full-stack

🛠️ Tech Stack

Python Django FastAPI Go React PyTorch Redis Docker

💻 What I Build

  • Backend APIs with Django & FastAPI
  • Machine learning models with PyTorch
  • Dockerized applications and deployment workflows
  • Real-time applications using Redis
  • Full-stack web apps with React

🚀 Currently Working On

🌳 CanopyWatch

Building an AI-powered satellite monitoring platform that detects deforestation using Sentinel-2 imagery and deep learning.

📄 Research Paper

Writing a research paper alongside my machine learning work on a new vision ai architecture.

📚 Learning

  • Go
  • Better system design
  • Building scalable backend services

"I am always doing what I cannot do, in order that I may learn how to do it." — Pablo Picasso

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  1. Aenaos Aenaos Public

    a multi model ai that uses my own vllm and a unique architeture to learn through seeing. it uses delta, caches, and more. im gonna end description because im out of words to say lol

    Jupyter Notebook

  2. Mini-Kubernetes Mini-Kubernetes Public

    Kubernetes inspired proggram written in golang

    Go

  3. desktopPetLite desktopPetLite Public

    A lighter more refined version or my other repo DesktopPetML, with less STT,TTS, game playing, and other bloat, refined to be able to agentically code on docker or raspberry pi, send over the chang…

    Python

  4. CanopyWatch CanopyWatch Public

    U-net satalite powered illegal deforestation watch, with agentic alerting and legality reasoning

    Python

  5. GoogleDocs GoogleDocs Public

    Realtime collaborative text editor template.

    Python